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Record W2008391887 · doi:10.1080/13540602.2015.1023025

Playing with Moon Sand: a narrative inquiry into a teacher’s experiences teaching alongside a student with a chronic illness

2015· article· en· W2008391887 on OpenAlexaffabout
Beth E. Davis, Maureen Murphy

Bibliographic record

VenueTeachers and Teaching · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsLiminalityCurriculumGirlNarrativePedagogySociologyPsychologyDevelopmental psychologyArtLiteratureAnthropology

Abstract

fetched live from OpenAlex

This paper inquires into the experiences of an early childhood educator named Claire who taught a young girl with a chronic illness at East Willows Elementary School, a western Canadian elementary school. Using narrative inquiry as the methodology, Claire’s experiences in her curriculum making alongside Madeline a young girl with Turner syndrome were explored and analyzed. In navigating through this curriculum around chronic illness, Claire negotiated liminal spaces between health and unhealth, sickness and wellness, capability and desire using stories of playful curriculum making. Through these liminal spaces, Claire created forward-looking stories of a new curriculum; a curriculum defined by playfulness, counterstories of play, the lived and planned curriculum, and the sharing of authority. This playful curriculum, this curriculum of play, became the negotiated story to live by for Claire and Madeline at East Willows Elementary School.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0200.020
Scholarly communication0.0070.006
Open science0.0020.008
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.094
GPT teacher head0.399
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2015
Admission routes2
Has abstractyes

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